You're reading from The Machine Learning Solutions Architect Handbook Create machine learning platforms to run solutions in an enterprise setting

Product type Paperback

Published in Jan 2022

Publisher Packt

ISBN-13 9781801072168

Length 442 pages

Edition 1st Edition

Languages

Python

Tools

TensorFlow

Concepts

Machine Learning

Author (1):

David Ping

View More author details

Table of Contents (17) Chapters

Preface

1. Section 1: Solving Business Challenges with Machine Learning Solution Architecture

2. Chapter 1: Machine Learning and Machine Learning Solutions Architecture FREE CHAPTER

3. Chapter 2: Business Use Cases for Machine Learning

4. Section 2: The Science, Tools, and Infrastructure Platform for Machine Learning

5. Chapter 3: Machine Learning Algorithms

6. Chapter 4: Data Management for Machine Learning

7. Chapter 5: Open Source Machine Learning Libraries

8. Chapter 6: Kubernetes Container Orchestration Infrastructure Management

9. Section 3: Technical Architecture Design and Regulatory Considerations for Enterprise ML Platforms

10. Chapter 7: Open Source Machine Learning Platforms

11. Chapter 8: Building a Data Science Environment Using AWS ML Services

12. Chapter 9: Building an Enterprise ML Architecture with AWS ML Services

13. Chapter 10: Advanced ML Engineering

14. Chapter 11: ML Governance, Bias, Explainability, and Privacy

15. Chapter 12: Building ML Solutions with AWS AI Services

16. Other Books You May Enjoy

ML use cases in retail

Retail businesses sell consumer products directly to customers through retail stores or e-commerce channels. They get supplies through wholesale distributors or from manufacturers directly. The industry has been going through some significant transformations. While e-commerce is growing much faster than traditional retail business, traditional brick-and-mortar stores are also transforming in-store shopping experiences to stay competitive. Retailers are looking for new ways to improve the overall shopping experience through both online and physical channels. New trends such as social commerce, augmented reality, virtual assistant shopping, smart stores, and 1:1 personalization are becoming some of the key differentiators among retail businesses.

AI and ML are a key driving force behind the retail industry's transformation, from inventory optimization and demand forecasting to highly personalized and immersive shopping experiences such as personalized...